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Deep Reinforcement Learning Handson 3rd Edition 3rd Maxim Lapan

  • SKU: BELL-80662926
Deep Reinforcement Learning Handson 3rd Edition 3rd Maxim Lapan
$ 31.00 $ 45.00 (-31%)

4.3

68 reviews

Deep Reinforcement Learning Handson 3rd Edition 3rd Maxim Lapan instant download after payment.

Publisher: Packt Publishing - ebooks Account
File Extension: EPUB
File size: 95.75 MB
Pages: 716
Author: Maxim Lapan
ISBN: 9781835882719, 1835882714
Language: English
Year: 2024
Edition: 3rd

Product desciption

Deep Reinforcement Learning Handson 3rd Edition 3rd Maxim Lapan by Maxim Lapan 9781835882719, 1835882714 instant download after payment.

Start your journey into reinforcement learning (RL) and reward yourself with the third edition of Deep Reinforcement Learning Hands-On. This book takes you through the basics of RL to more advanced concepts with the help of various applications, including game playing, discrete optimization, stock trading, and web browser navigation. By walking you through landmark research papers in the fi eld, this deep RL book will equip you with practical knowledge of RL and the theoretical foundation to understand and implement most modern RL papers.

The book retains its approach of providing concise and easy-to-follow explanations from the previous editions. You'll work through practical and diverse examples, from grid environments and games to stock trading and RL agents in web environments, to give you a well-rounded understanding of RL, its capabilities, and its use cases. You'll learn about key topics, such as deep Q-networks (DQNs), policy gradient methods, continuous control problems, and highly scalable, non-gradient methods.

If you want to learn about RL through a practical approach using OpenAI Gym and PyTorch, concise explanations, and the incremental development of topics, then Deep Reinforcement Learning Hands-On, Third Edition, is your ideal companion

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